New Scientist – June 10 2017
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NEWS & TECHNOLOGY<br />
Brain signals<br />
used to recreate<br />
photos of faces<br />
SXS<br />
Black hole merger<br />
rattles the cosmos<br />
Leah Crane<br />
THREE’S a party. For the third<br />
time, the LIGO collaboration has<br />
detected gravitational waves<br />
emanating from a pair of merging<br />
black holes <strong>–</strong> yielding clues about<br />
how these duos form and building<br />
up our catalogue of them.<br />
“The first one was a novelty.<br />
The second one was confirmation<br />
that the novelty of the first one<br />
was not a fluke. The third one<br />
is astrophysics,” says LIGO<br />
spokesperson David Shoemaker<br />
at the Massachusetts Institute of<br />
Technology (MIT).<br />
LIGO detects waveforms,<br />
which are readouts of the ripples<br />
in the fabric of space-time caused<br />
by masses moving through it. The<br />
spins of merging black holes can<br />
warp those waveforms, which are<br />
mostly produced by their orbits<br />
and eventual collision.<br />
The first event yielded too<br />
little information to determine<br />
the direction of each black hole’s<br />
spin. The second provided a bit<br />
more information, indicating<br />
that each black hole was probably<br />
spinning in the same direction as<br />
they were orbiting one another.<br />
But this third pair of black<br />
holes tilts towards Earth in a<br />
different way from the other<br />
two, according to Shoemaker,<br />
allowing LIGO to see more<br />
about how each one spins.<br />
This view has revealed that<br />
they aren’t spinning in the same<br />
direction as their orbit. That<br />
means they’re probably spinning<br />
“Spins, and particularly<br />
misaligned spins, will help<br />
us figure out how pairs of<br />
merging black holes form”<br />
in different directions or <strong>–</strong> far<br />
less likely <strong>–</strong> not spinning at all.<br />
“Spins, and particularly<br />
misaligned spins, will help us<br />
figure out how these things are<br />
formed,” says Carl Rodriguez<br />
at MIT. Going beyond detection<br />
to examining these objects’<br />
properties turns this into a “new<br />
branch of astronomy”, he adds.<br />
Black hole binaries are either<br />
born together from a pair of<br />
orbiting stars, or form separately<br />
in a dense stellar cluster and later<br />
drift together at its centre. In the<br />
first case, the pair should rotate in<br />
the same direction they orbit, as<br />
binary stars do. In the second, says<br />
Rodriguez, “they’re pointing in<br />
whatever directions they please”.<br />
LIGO’s second detection, a black<br />
hole binary discovered in 2015,<br />
seemed to be from black holes<br />
born orbiting together. But this<br />
new pair, found on 4 January,<br />
may have formed independently.<br />
At least one of the black holes<br />
seems to spin in a different<br />
direction to its orbit. The<br />
differences indicate that both<br />
formation scenarios can occur.<br />
Because this new black hole<br />
binary is about 3 billion light<br />
years away <strong>–</strong> twice as far as the<br />
others we’ve detected <strong>–</strong> its<br />
gravitational waves have to<br />
ripple through more space-time<br />
before they reach Earth. That<br />
distance allows us to get greater<br />
insight into potential deviations<br />
from Einstein’s theory of general<br />
relativity (PhysicalReview<br />
Letters, doi.org/b73r).<br />
General relativity states that all<br />
gravitational waves should travel<br />
at the same speed <strong>–</strong> the speed of<br />
light. Because the waves seemed<br />
to do that in this case, even over<br />
such a huge distance, they backed<br />
up Einstein’s cosmic rule.<br />
The research marks the start<br />
of an era of using gravitational<br />
waves to study the cosmic kin of<br />
black hole binaries. ■<br />
PRECISION images of real faces have<br />
been recreated by monitoring the<br />
activity of certain cells in the brains of<br />
macaque monkeys as they looked at<br />
photographs of people.<br />
The study is the first to provide a<br />
full and simple explanation of how<br />
the brains of macaques <strong>–</strong> and by<br />
implication, humans <strong>–</strong> generate<br />
composite images of any face they<br />
see. “We’ve cracked the brain’s code<br />
for facial identity,” says Doris Tsao at<br />
<strong>–</strong>All in a spin<strong>–</strong> the California Institute of Technology.<br />
The brain has regions of specialised<br />
face cells, which become active when<br />
a person sees a face. Tsao and her<br />
colleague, Steven Le Chang, inserted<br />
electrodes into three patches of these<br />
cells in macaques, enabling them to<br />
record the activity of 205 neurons.<br />
The pair then showed three of<br />
these macaques 2000 images of<br />
human faces. They discovered that<br />
each of the face cells is tuned to view<br />
faces in slightly different ways <strong>–</strong> as if<br />
photographing a face from multiple<br />
angles at once. The combined signals<br />
from these cells encode 50 different<br />
aspects of a face <strong>–</strong> for example,<br />
shape, distance between eyes and<br />
skin texture.<br />
When all these are combined,<br />
they give a clear composite image.<br />
“The key is that even though there’s<br />
an infinite number of faces, you can<br />
describe all of them with just these<br />
50 dimensions,” says Tsao.<br />
The researchers developed<br />
algorithms from the face-cell feedback<br />
that enabled them to recreate<br />
composite facial images from monkey<br />
brain-cell activity (Cell, doi.org/b73v).<br />
It is likely that memories of<br />
familiar faces are held by a different<br />
type of cell in the hippocampus.<br />
“Tsao’s work provides the first specific<br />
hypothesis for how the response of<br />
face cells in the cortex can be utilised<br />
by cells in the hippocampus to form<br />
memories of individuals we’ve seen<br />
before,” says Ueli Rutishauser at the<br />
Cedars-Sinai Medical Center in Los<br />
Angeles. Andy Coghlan ■<br />
14|<strong>New</strong><strong>Scientist</strong>|<strong>10</strong><strong>June</strong><strong>2017</strong>